Biomass retrieval for boreal forest using electromagnetic scattering model and neural networks

Author

Luo, Xianyun ; Smith, Gary ; Askne, Jan ; Fransson, Johan

Author_Institution

Dept. of Radio & Space Sci., Chalmers Univ. of Technol., Goteborg, Sweden

Volume

1

fYear

2000

fDate

2000

Firstpage

414

Abstract

Retrieval of stem volume of boreal forest from SAR images by using electromagnetic scattering model and neural network is presented. The experimental data of Danish Airborne SAR (EMISAR) for the NOPEX southern research area in Sweden were used to test the retrieval scheme. It has been shown that a neural network trained by calibrated electromagnetic scattering model with experimental data has the potential to retrieve the biomass for boreal forests

Keywords

forestry; geophysical techniques; geophysics computing; neural nets; radar cross-sections; radar theory; remote sensing by radar; synthetic aperture radar; vegetation mapping; Danish Airborne; EMISAR; NOPEX; SAR; Sweden; backscatter; biomass; boreal forest; electromagnetic scattering model; geophysical measurement technique; neural net; neural network; radar remote sensing; radar scattering; retrieval; stem volume; synthetic aperture radar; vegetation mapping; Backscatter; Biomass; Covariance matrix; Electromagnetic modeling; Electromagnetic scattering; Information retrieval; Neural networks; Resource management; Space technology; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-6359-0

Type

conf

DOI

10.1109/IGARSS.2000.860549

Filename

860549